/*
 * Copyright 2021 4Paradigm
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com._4paradigm.openmldb.batch.nodes

import com._4paradigm.hybridse.vm.PhysicalSortNode
import com._4paradigm.openmldb.batch.utils.PhysicalNodeUtil
import com._4paradigm.openmldb.batch.{PlanContext, SparkInstance}

object SortByPlan {
  def gen(ctx: PlanContext, node: PhysicalSortNode, input: SparkInstance): SparkInstance = {

    val dfWithIndex = input.getDfConsideringIndex(ctx, node.GetNodeId())
    val outputDf = dfWithIndex.sort(PhysicalNodeUtil.getOrderbyColumns(node, dfWithIndex): _*)

    SparkInstance.createConsideringIndex(ctx, node.GetNodeId(), outputDf)
  }
}
